Intelligent data center selection

ABSTRACT

In embodiments, a data center selection system can select a chosen data center (DC) for an order submitted to a cloud computing system using a preprocessing layer and a rules engine that incorporates action/algorithm-based selection using data center metrics to determine the chosen DC. In various embodiments, the data center selection system retrieves order information, objectives, rules, algorithms, and other data defined by an administrator. The data center selection system can then retrieve data center information aggregated from various data centers. Using order information received from an order management system, the data center selection system can utilizes the preprocessing layer, the rules engine, and the algorithm-based selection to select the chosen DC. The data center selection system can send an order request to the chosen DC in which to provision services for the order request.

CROSS-REFERENCES TO RELATED APPLICATIONS

This Applications claims priority to and the benefit of U.S. ProvisionalPatent Application No. 62/040,779, filed Aug. 22, 2014 and entitled“INTELLIGENT DATA CENTER SELECTION,” which is hereby incorporate byreference for all purposes.

BACKGROUND

The present disclosure relates to computer systems and software, andmore particularly to techniques for facilitating and automating theprovision of services in a cloud environment.

Cloud computing is a model for enabling convenient, on-demand networkaccess to a shared pool of configurable computing resources (e.g.,networks, servers, storage, applications, and services). The servicesprovided or accessed through the cloud (or network) are referred to ascloud services. There is a lot of processing that needs to be performedby a cloud service provider to make cloud services available to asubscribing customer. Due to its complexity, much of this processing isstill done manually. For example, provisioning resources for providingsuch cloud services can be a very labor-intensive process.

Consumers and businesses have an expectation that ordering and startingthe use of computer network cloud-based services be seamless. However,many cloud services are difficult to start up, requiring theprovisioning of resources that might be shared. For example, servers ina server farm may run cloud services for many customers at once, andadding another customer may require shifting around resources. Differentusers may wish to employ different services. For example, some users mayonly want raw storage on the cloud, while other users may want to usesophisticated database storage. Still others may want the use ofgraphical user interface (GUI) software applications running on thecloud for its employees or customers.

There exists a need in the art for faster, less expensive, andeasier-to-use cloud based computer systems.

SUMMARY

Generally, aspects of the present disclosure relate to enabling alreadyprovisioned services, such as database services and Java® services, in acomputer network cloud infrastructure system to be reused in order toreduce the time to provision new services.

In embodiments, a data center selection system can select a chosen datacenter (DC) for an order submitted to a cloud computing system using apreprocessing layer and a rules engine that incorporatesaction/algorithm-based selection using data center metrics to determinethe chosen DC. In various embodiments, the data center selection systemretrieves order information, objectives, rules, algorithms, and otherdata defined by an administrator. The data center selection system canthen retrieve data center information aggregated from various datacenters. Using order information received from an order managementsystem, the data center selection system can utilizes the preprocessinglayer, the rules engine, and the algorithm-based selection to select thechosen DC. The data center selection system can send an order request tothe chosen DC in which to provision services for the order request.

This summary is not intended to identify key or essential features ofthe claimed subject matter, nor is it intended to be used in isolationto determine the scope of the claimed subject matter. The subject mattershould be understood by reference to appropriate portions of the entirespecification of this patent, any or all drawings, and each claim.

BRIEF DESCRIPTION OF THE DRAWINGS

Illustrative embodiments of the present invention are described indetail below with reference to the following drawing figures:

FIG. 1A is a logical view of a cloud infrastructure system according toone embodiment of the present invention.

FIG. 1B is a simplified block diagram of a hardware/software stack thatmay be used to implement a cloud infrastructure system according to anembodiment of the present invention.

FIG. 2 is a simplified block diagram of a system environment forimplementing the cloud infrastructure system shown in FIG. 1A.

FIG. 3A depicts a simplified flowchart 300 depicting processing that maybe performed by the TAS module in the cloud infrastructure system, inaccordance with an embodiment of the present invention.

FIG. 3B depicts a simplified high-level diagram of one or moresub-modules in the TAS module in the cloud infrastructure system, inaccordance with an embodiment of the present invention.

FIG. 4 depicts an exemplary distributed deployment of the TAS component,according to an embodiment of the present invention.

FIG. 5 is a simplified block diagram illustrating the interactions ofthe SDI module with one or more modules in the cloud infrastructuresystem, in accordance with an embodiment of the present invention.

FIG. 6 depicts a simplified high-level diagram of sub-modules of the SDImodule according to an embodiment of the present invention.

FIG. 7A depicts a simplified flowchart depicting processing that may beperformed by the SDI component in the cloud infrastructure system, inaccordance with an embodiment of the present invention.

FIG. 7B depicts a simplified block diagram showing the high-levelarchitecture of a Nuviaq system 710 and its relationships with othercloud infrastructure components according to an embodiment of thepresent invention.

FIG. 7C depicts an example sequence diagram illustrating steps of aprovisioning process using a Nuviaq system according to an embodiment ofthe present invention.

FIG. 7D depicts an example sequence diagram illustrating steps of adeployment process using a Nuviaq system according to an embodiment ofthe present invention.

FIG. 7E depicts an example of database instances provisioned for adatabase service according to an embodiment of the present invention.

FIG. 8 illustrates a high level overview of the various interactionsinvolved to provide intelligent data center selection in accordance withan embodiment of the present invention.

FIGS. 9A-9B are a flowchart of a method for selecting a data center tohost a cloud subscription according to various embodiments.

FIG. 10 is a simplified flowchart of a method for selecting a datacenter to host a cloud subscription according to various embodiments.

FIG. 11 depicts a simplified diagram of a distributed system forimplementing one of the embodiments.

FIG. 12 illustrates an exemplary computer system, in which variousembodiments of the present invention may be implemented.

DETAILED DESCRIPTION

In the following description, for the purposes of explanation, specificdetails are set forth in order to provide a thorough understanding ofembodiments of the invention. However, it will be apparent that variousembodiments may be practiced without these specific details. The figuresand description are not intended to be restrictive.

Certain embodiments of the present invention provide techniques forautomating the provisioning, managing and tracking of services providedby a cloud infrastructure system.

Introduction

In certain embodiments, a cloud infrastructure system may include asuite of applications, middleware and database service offerings thatare delivered to a customer in a self-service, subscription-based,elastically scalable, reliable, highly available, and secure manner. Anexample of such a cloud infrastructure system is the Oracle Public Cloudprovided by the present assignee.

A cloud infrastructure system may provide many capabilities including,but not limited to, provisioning, managing and tracking a customer'ssubscription for services and resources in the cloud infrastructuresystem, providing predictable operating expenses to customers utilizingthe services in the cloud infrastructure system, providing robustidentity domain separation and protection of a customer's data in thecloud infrastructure system, providing customers with a transparentarchitecture and control of the design of the cloud infrastructuresystem, providing customers assured data protection and compliance withdata privacy standards and regulations, providing customers with anintegrated development experience for building and deploying services inthe cloud infrastructure system and providing customers with a seamlessintegration between business software, middleware, database andinfrastructure services in the cloud infrastructure system.

In certain embodiments, services provided by the cloud infrastructuresystem may include a host of services that are made available to usersof the cloud infrastructure system on demand such as online data storageand backup solutions, Web-based e-mail services, hosted office suitesand document collaboration services, database processing, managedtechnical support services and the like. Services provided by the cloudinfrastructure system can dynamically scale to meet the needs of itsusers. A specific instantiation of a service provided by cloudinfrastructure system is referred to herein as a service instance. Ingeneral, any service made available to a user via a communicationnetwork such as the Internet from a cloud service provider's system isreferred to as a cloud service. Typically, in a public cloudenvironment, servers and systems that make up the cloud serviceprovider's system are different from the customer's own on-premisesservers and systems. For example, a cloud service provider's system mayhost an application and a user may, via a communication network such asthe Internet, on demand, order and use the application.

A service in a computer network cloud infrastructure includes protectedcomputer network access to storage, a hosted database, a hosted webserver, a software application, or other service provided by a cloudvendor to a user, or as otherwise known in the art. For example, aservice can include password-protected access to remote storage on thecloud through the Internet. As another example, a service can include aweb service-based hosted relational database and script-languagemiddleware engine for private use by a networked developer. As anotherexample, a service can include access to an email software applicationhosted on a cloud vendor's web site.

FIG. 1A is a logical view of a cloud infrastructure system according toone embodiment of the present invention. Cloud infrastructure system 100may provide a variety of services via a cloud or networked environment.These services may include one or more services provided under Softwareas a Service (SaaS) category, Platform as a Service (PaaS) category,Infrastructure as a Service (IaaS) category, or other categories ofservices including hybrid services. A customer, via a subscriptionorder, may order one or more services provided by cloud infrastructuresystem 100. Cloud infrastructure system 100 then performs processing toprovide the services in the customer's subscription order.

Cloud infrastructure system 100 may provide the cloud services viadifferent deployment models. For example, services may be provided undera public cloud model where cloud infrastructure system 100 is owned byan organization selling cloud services (e.g., owned by Oracle) and theservices are made available to the general public or different industryenterprises. As another example, services may be provided under aprivate cloud model where cloud infrastructure system 100 is operatedsolely for a single organization and may provide services for one ormore entities within the organization. The cloud services may also beprovided under a community cloud model where cloud infrastructure system100 and the services provided by system 100 are shared by severalorganizations in a related community. The cloud services may also beprovided under a hybrid cloud model, which is a combination of two ormore different models.

As shown in FIG. 1A, cloud infrastructure system 100 may comprisemultiple components, which working in conjunction, enable provision ofservices provided by cloud infrastructure system 100. In the embodimentillustrated in FIG. 1A, cloud infrastructure system 100 includes a SaaSplatform 102, a PaaS platform 104, an IaaS platform 110, infrastructureresources 106, and cloud management functionality 108. These componentsmay be implemented in hardware, or software, or combinations thereof.

SaaS platform 102 is configured to provide cloud services that fallunder the SaaS category. For example, SaaS platform 102 may providecapabilities to build and deliver a suite of on-demand applications onan integrated development and deployment platform. SaaS platform 102 maymanage and control the underlying software and infrastructure forproviding the SaaS services. By utilizing the services provided by SaaSplatform 102, customers can utilize applications executing on cloudinfrastructure system 100. Customers can acquire the applicationservices without the need for customers to purchase separate licensesand support.

Various different SaaS services may be provided. Examples includewithout limitation services that provide solutions for sales performancemanagement, enterprise integration, and business flexibility for largeorganizations, and the like. In one embodiment, the SaaS services mayinclude Customer Relationship Management (CRM) services 110 (e.g.,Fusion CRM services provided by the Oracle cloud), Human CapitalManagement (HCM)/Talent Management services 112, and the like. CRMservices 110 may include services directed to reporting and managementof a sales activity cycle to a customer, and others. HCM/Talent services112 may include services directed to providing global workforcelifecycle management and talent management services to a customer.

Various different PaaS services may be provided by PaaS platform 104 ina standardized, shared and elastically scalable application developmentand deployment platform. Examples of PaaS services may include withoutlimitation services that enable organizations (such as Oracle) toconsolidate existing applications on a shared, common architecture, aswell as the ability to build new applications that leverage the sharedservices provided by the platform. PaaS platform 104 may manage andcontrol the underlying software and infrastructure for providing thePaaS services. Customers can acquire the PaaS services provided by cloudinfrastructure system 100 without the need for customers to purchaseseparate licenses and support. Examples of PaaS services include withoutlimitation Oracle Java Cloud Service (JCS), Oracle Database CloudService (DBCS), and others.

By utilizing the services provided by PaaS platform 104, customers canutilize programming languages and tools supported by cloudinfrastructure system 100 and also control the deployed services. Insome embodiments, PaaS services provided by the cloud infrastructuresystem 100 may include database cloud services 114, middleware cloudservices (e.g., Oracle Fusion Middleware services) 116 and Java cloudservices 117. In one embodiment, database cloud services 114 may supportshared service deployment models that enable organizations to pooldatabase resources and offer customers a database-as-a-service in theform of a database cloud, middleware cloud services 116 provides aplatform for customers to develop and deploy various businessapplications and Java cloud services 117 provides a platform forcustomers to deploy Java applications, in the cloud infrastructuresystem 100. The components in SaaS platform 102 and PaaS platform 104illustrated in FIG. 1A are meant for illustrative purposes only and arenot intended to limit the scope of embodiments of the present invention.In alternate embodiments, SaaS platform 102 and PaaS platform 104 mayinclude additional components for providing additional services to thecustomers of cloud infrastructure system 100.

Various different IaaS services may be provided by IaaS platform 110.The IaaS services facilitate the management and control of theunderlying computing resources such as storage, networks, and otherfundamental computing resources for customers utilizing servicesprovided by the SaaS platform and the PaaS platform.

In certain embodiments, cloud infrastructure system 100 includesinfrastructure resources 106 for providing the resources used to providevarious services to customers of the cloud infrastructure system 100. Inone embodiment, infrastructure resources 106 includes pre-integrated andoptimized combinations of hardware such as servers, storage andnetworking resources to execute the services provided by the PaaSplatform and the SaaS platform.

In certain embodiments, cloud management functionality 108 providescomprehensive management of cloud services (e.g., SaaS, PaaS, IaaSservices) in the cloud infrastructure system 100. In one embodiment,cloud management functionality 108 includes capabilities forprovisioning, managing, and tracking a customer's subscription receivedby the cloud infrastructure system 100, and the like.

FIG. 1B is a simplified block diagram of a hardware/software stack thatmay be used to implement cloud infrastructure system 100 according to anembodiment of the present invention. It should be appreciated thatimplementation depicted in FIG. 1B may have other components than thosedepicted in FIG. 1B. Further, the embodiment shown in FIG. 1B is onlyone example of a cloud infrastructure system that may incorporate anembodiment of the invention. In some other embodiments, cloudinfrastructure system 100 may have more or fewer components than shownin FIG. 1B, may combine two or more components, or may have a differentconfiguration or arrangement of components. In certain embodiments, thehardware and software components are stacked so as to provide verticalintegration that provides optimal performance.

Various types of users may interact with cloud infrastructure system100. These users may include, for example, end users 150 that caninteract with cloud infrastructure system 100 using various clientdevices such as desktops, mobile devices, tablets, and the like. Theusers may also include developers/programmers 152 who may interact withcloud infrastructure system 100 using command line interfaces (CLIs),application-programming interfaces (APIs), through various integrateddevelopment environments (IDEs), and via other applications. User mayalso include operations personnel 154. These may include personnel ofthe cloud service provider or personnel of other users.

Application services layer 156 identifies various cloud services thatmay be offered by cloud infrastructure system 100. These services may bemapped to or associated with respective software components 160 (e.g.,Oracle WebLogic server for providing Java services, oracle database forproviding database services, and the like) via a service integration andlinkages layer 158.

In certain embodiments, a number of internal services 162 may beprovided that are shared by different components or modules of cloudinfrastructure system 100 and by the services provided by cloudinfrastructure system 100. These internal shared services may include,without limitation, a security and identity service, an integrationservice, an enterprise repository service, an enterprise managerservice, a virus scanning and white list service, a high availability,backup and recovery service, service for enabling cloud support in IDEs,an email service, a notification service, a file transfer service, andthe like.

Runtime infrastructure layer 164 represents the hardware layer on whichthe various other layers and components are built. In certainembodiments, runtime infrastructure layer 164 may comprise one Oracle'sExadata machines for providing storage, processing, and networkingresources. An Exadata machine may be composed of various databaseservers, storage Servers, networking resources, and other components forhosting cloud-services related software layers. In certain embodiments,the Exadata machines may be designed to work with Oracle Exalogic, whichis an engineered system providing an assemblage of storage, compute,network, and software resources. The combination of Exadata and Exalogicprovides a complete hardware and software-engineered solution thatdelivers high-performance, highly available, scalable, secure, and amanaged platform for providing cloud services.

FIG. 2 is a simplified block diagram of a system environment forimplementing the cloud infrastructure system shown in FIG. 1A accordingto an embodiment of the present invention. In the illustratedembodiment, system environment 230 includes one or more client computingdevices 224, 226, and 228 that may be used by users to interact withcloud infrastructure system 100. A client device may be configured tooperate a client application such as a web browser, a proprietary clientapplication (e.g., Oracle Forms), or some other application, which maybe used by a user of the client device to interact with cloudinfrastructure system 100 to utilize services provided by cloudinfrastructure system 100.

It should be appreciated that cloud infrastructure system 100 depictedin FIG. 2 may have other components than those depicted in FIG. 2.Further, the embodiment shown in FIG. 2 is only one example of a cloudinfrastructure system that may incorporate an embodiment of theinvention. In some other embodiments, cloud infrastructure system 100may have more or fewer components than shown in FIG. 2, may combine twoor more components, or may have a different configuration or arrangementof components.

Client computing devices 224, 226 and 228 may be general purposepersonal computers (including, by way of example, personal computersand/or laptop computers running various versions of Microsoft Windowsand/or Apple Macintosh operating systems), cell phones or PDAs (runningsoftware such as Microsoft Windows Mobile and being Internet, e-mail,SMS, Blackberry, or other communication protocol enabled), workstationcomputers running any of a variety of commercially-available UNIX orUNIX-like operating systems (including without limitation the variety ofGNU/Linux operating systems), or any other computing device. Forexample, client computing devices 224, 226 and 228 may be any otherelectronic device, such as a thin-client computer, Internet-enabledgaming system, and/or personal messaging device, capable ofcommunicating over a network (e.g., network 232 described below).Although exemplary system environment 230 is shown with three clientcomputing devices, any number of client computing devices may besupported. Other devices such as devices with sensors, etc. may interactwith cloud infrastructure system 100.

A network 232 may facilitate communications and exchange of data betweenclients 224, 226 and 228 and cloud infrastructure system 100. Network232 may be any type of network familiar to those skilled in the art thatcan support data communications using any of a variety of commerciallyavailable protocols, including without limitation TCP/IP, SNA, IPX,AppleTalk, and the like. Merely by way of example, network 232 can be alocal area network (LAN) such as an Ethernet network, a Token-Ringnetwork and/or the like, a wide-area network, a virtual network,including without limitation a virtual private network (VPN), theInternet, an intranet, an extranet, a public switched telephone network(PSTN), an infra-red network, a wireless network (e.g., a networkoperating under any of the IEEE 802.1X suite of protocols, the Bluetoothprotocol known in the art, and/or any other wireless protocol), and/orany combination of these and/or other networks.

Cloud infrastructure system 100 may comprise one or more computersand/or servers which may be general purpose computers, specializedserver computers (including, by way of example, PC servers, UNIXservers, mid-range servers, mainframe computers, rack-mounted servers,etc.), server farms, server clusters, or any other appropriatearrangement and/or combination. The computing devices that make up cloudinfrastructure system 100 may run any of operating systems or a varietyof additional server applications and/or mid-tier applications,including HTTP servers, FTP servers, CGI servers, Java servers, databaseservers, and the like. Exemplary database servers include withoutlimitation those commercially available from Oracle, Microsoft, Sybase,IBM and the like.

In various embodiments, cloud infrastructure system 100 may be adaptedto automatically provision, manage and track a customer's subscriptionto services offered by cloud infrastructure system 100. In oneembodiment, as depicted in FIG. 2, the components in cloudinfrastructure system 100 include an Identity Management (IDM) module200, a services module 202, a Tenant Automation System (TAS) module 204,a Service Deployment Infrastructure (SDI) module 206, an EnterpriseManager (EM) module 208, one or more front-end web interfaces such as astore user interface (UI) 210, a cloud user interface (UI) 212, and asupport user interface (UI) 216, an order management module 214, salespersonnel 218, operator personnel 220 and an order database 224. Thesemodules may include or be provided using one or more computers and/orservers which may be general purpose computers, specialized servercomputers, server farms, server clusters, or any other appropriatearrangement and/or combination. In one embodiment, one or more of thesemodules can be provided by cloud management functionality 108 or IaaSplatform 110 in cloud infrastructure system 100. The various modules ofthe cloud infrastructure system 100 depicted in FIG. 2 are meant forillustrative purposes only and are not intended to limit the scope ofembodiments of the present invention. Alternative embodiments mayinclude more or fewer modules than those shown in FIG. 2.

In an exemplary operation, at (1) a customer using a client device suchas client device 224 or 226 may interact with cloud infrastructuresystem 100 by browsing the various services provided by cloudinfrastructure system 100 and placing an order for a subscription forone or more services offered by cloud infrastructure system 100. Incertain embodiments, the customer may access store UI 210 or cloud UI212 and place a subscription order via these user interfaces.

The order information received by cloud infrastructure system 100 inresponse to the customer placing an order may include informationidentifying the customer and one or more services offered by the cloudinfrastructure system 100 to which the customer intends to subscribe. Asingle order may include orders for multiple services. For instance, acustomer may login to cloud UI 212 and request a subscription for a CRMservice and a Java cloud service in the same order.

Additionally, the order may also include one or more service levels forthe ordered services. As used herein, and as will be discussed ingreater detail below, a service level for a service determines theamount of resources to be allocated for providing the requested servicein the context of the subscription, such as the amount of storage,amount of computing resources, data transfer facilities, and the like.For example, a basic service level may provide a minimum level ofstorage, data transmission, or number of users, and higher servicelevels may include additional resources.

In addition, in some instances, the order information received by cloudinfrastructure system 100 may include information indicative of acustomer level, and the time period during which the service is desired.The customer level specifies the priority of the customer making thesubscription request. In one example, the priority may be determinedbased on the quality of service that the cloud infrastructure system 100guarantees or promises the customer as specified by a Service LevelAgreement (SLA) agreed to between the customer and the provider of thecloud services. In one example, the different customer levels include abasic level, a silver level, and a gold level. The time period for aservice may specify the start date and time for the service and the timeperiod for which the service is desired (e.g., a service end date andtime may be specified).

In one embodiment, a customer may request a new subscription via storeUI 210 or request for a trial subscription via cloud UI 212. In certainembodiments, store UI 210 may represent the service provider's eCommercestorefront (e.g., www.oracle.com/store for Oracle Cloud services). CloudUI 212 may represent a business interface for the service provider.Consumer can explore available services and sign up for interestedservices through cloud UI 212. Cloud UI 212 captures user inputnecessary for ordering trial subscriptions provided by cloudinfrastructure system 100. Cloud UI 212 may also be used to view accountfeatures and configure the runtime environment located within cloudinfrastructure system 100. In addition to placing an order for a newsubscription, store UI 210 may also enable the customer to perform othersubscription-related tasks such as changing the service level of asubscription, extending the term of the subscription, increasing theservice level of a subscription, terminating an existing subscription,and the like.

After an order has been placed per (1), at (2), the order informationthat is received via either store UI 210 or cloud UI 212 is stored inorder database 224, which can be one of several databases operated bycloud infrastructure system 100 and utilized in conjunction with othersystem elements. While order database 224 is shown logically as a singledatabase in FIG. 2, in actual implementation, this may comprise one ormore databases.

At (3), the order is forwarded to order management module 214. Ordermanagement module 214 is configured to perform billing and accountingfunctions related to the order such as verifying the order and uponverification, booking the order. In certain embodiments, ordermanagement module 214 may include a contract management module and aninstall base module. The contract management module may store contractinformation associated with the customer's subscription order such asthe customer's service level agreement (SLA) with cloud infrastructuresystem 100. The install base module may include detailed descriptions ofthe services in the customer's subscription order. In addition to orderinformation, the install base module may track installation detailsrelated to the services, product status and support service historyrelated to the services. As a customer orders new services or upgradesexisting ones, the install base module may automatically add new orderinformation.

At (4), information regarding the order is communicated to TAS module204. In one embodiment, TAS module 204 utilizes the order information toorchestrate the provisioning of services and resources for the orderplaced by the customer. At (5), TAS component 204 orchestrates theprovisioning of resources to support the subscribed services using theservices of SDI module 206. At (6) TAS module 204 provides informationrelated to the provisioned order received from SDI module 206 toservices module 202. In some embodiments, at (7), SDI module 206 mayalso use services provided by services module 202 to allocate andconfigure the resources needed to fulfill the customer's subscriptionorder.

At (8), services module 202 sends a notification to the customers onclient devices 224, 226 and 228 regarding the status of the order.

In certain embodiments, TAS module 204 functions as an orchestrationcomponent that manages business processes associated with each order andapplies business logic to determine whether an order should proceed toprovisioning. In one embodiment, upon receiving an order for a newsubscription, TAS module 204 sends a request to SDI module 206 toallocate resources and configure those resources needed to fulfill thesubscription order. SDI module 206 enables the allocation of resourcesfor the services ordered by the customer. SDI module 206 provides alevel of abstraction between the cloud services provided by cloudinfrastructure system 100 and the physical implementation layer that isused to provision the resources for providing the requested services.TAS module 204 may thus be isolated from implementation details such aswhether or not services and resources are actually provisioned on thefly or pre-provisioned and only allocated/assigned upon request.

In certain embodiments, a user may use store UI 210 to directly interactwith order management module 214 to perform billing and accountingrelated functions such as verifying the order and upon verification,booking the order. In some embodiments, instead of a customer placing anorder, at (9), the order may instead be placed by sales personnel 218 onbehalf of the customer such as a customer's service representative orsales representative. Sales personnel 218 may directly interact withorder management module 214 via a user interface (not shown in FIG. 2)provided by order management module 214 for placing orders or forproviding quotes for the customer. This, for example, may be done forlarge customers where the order may be placed by the customer's salesrepresentative through order management module 214. The salesrepresentative may set up the subscription on behalf of the customer.

EM module 208 is configured to monitor activities related to managingand tracking a customer's subscription in cloud infrastructure system100. EM module 208 collects usage statistics for the services in thesubscription order such as the amount of storage used, the amount datatransferred, the number of users, and the amount of system up time andsystem down time. At (10), a host operator personnel 220, who may be anemployee of a provider of cloud infrastructure system 100, may interactwith EM module 208 via an enterprise manager user interface (not shownin FIG. 2) to manage systems and resources on which services areprovisioned within cloud infrastructure system 100.

Identity management (IDM) module 200 is configured to provide identityservices such as access management and authorization services in cloudinfrastructure system 100. In one embodiment, IDM module 200 controlsinformation about customers who wish to utilize the services provided bycloud infrastructure system 100. Such information can includeinformation that authenticates the identities of such customers andinformation that describes which actions those customers are authorizedto perform relative to various system resources (e.g., files,directories, applications, communication ports, memory segments, etc.)IDM module 200 can also include the management of descriptiveinformation about each customer and about how and by whom thatdescriptive information can be accessed and modified.

In one embodiment, information managed by the identity management module200 can be partitioned to create separate identity domains. Informationbelonging to a particular identity domain can be isolated from all otheridentity domains. In addition, an identity domain can be shared bymultiple separate tenants. Each such tenant can be a customersubscribing to services in the cloud infrastructure system 100. In someembodiments, a customer can have one or many identity domains, and eachidentity domain may be associated with one or more subscriptions, eachsubscription having one or many services. For example, a single customercan represent a large entity and identity domains may be created fordivisions/departments within this large entity. EM module 208 and IDMmodule 200 may in turn interact with order management module 214 at (11)and (12) respectively to manage and track the customer's subscriptionsin cloud infrastructure system 100.

In one embodiment, at (13), support services may also be provided to thecustomer via a support UI 216. In one embodiment, support UI 216 enablessupport personnel to interact with order management module 214 via asupport backend system to perform support services at (14). Supportpersonnel in the cloud infrastructure system 100 as well as customerscan submit bug reports and check the status of these reports via supportUI 216.

Other interfaces, not shown in FIG. 2 may also be provided by cloudinfrastructure system 100. For example, an identity domain administratormay use a user interface to IDM module 200 to configure domain and useridentities. In addition, customers may log into a separate interface foreach service they wish to utilize. In certain embodiments, a customerwho wishes to subscribe to one or more services offered by cloudinfrastructure system 100 may also be assigned various roles andresponsibilities. In one embodiment, the different roles andresponsibilities that may be assigned for a customer may include that ofa buyer, an account administrator, a service administrator, an identitydomain administrator or a user who utilizes the services and resourcesoffered by cloud infrastructure system 100. The different roles andresponsibilities are described more fully in FIG. 4 below.

FIG. 3A depicts a simplified flowchart 300 depicting processing that maybe performed by the TAS module in the cloud infrastructure system, inaccordance with an embodiment of the present invention. The processingdepicted in FIG. 3A may be implemented in software (e.g., code,instructions, program) executed by one or more processors, hardware, orcombinations thereof. The software may be stored in memory (e.g., on amemory device, on a non-transitory computer-readable storage medium).The particular series of processing steps depicted in FIG. 3A is notintended to be limiting. Other sequences of steps may also be performedaccording to alternative embodiments. For example, alternativeembodiments of the present invention may perform the steps outlinedabove in a different order. Moreover, the individual steps illustratedin FIG. 3A may include multiple sub-steps that may be performed invarious sequences as appropriate to the individual step. Furthermore,additional steps may be added or removed depending on the particularapplications. One of ordinary skill in the art would recognize manyvariations, modifications, and alternatives. In one embodiment, theprocessing depicted in FIG. 3A may be performed by one or morecomponents in TAS component 204 as will be described in detail in FIG.3B.

At 302, a customer's subscription order is processed. The processing mayinclude validating the order, in one example. Validating the orderincludes ensuring that the customer has paid for the subscription andensuring that the customer does not already have subscriptions with thesame name or that the customer is not attempting to create multiplesubscriptions of the same type in the same identity domain forsubscription types for which this is disallowed (such as, in the case ofa CRM service). Processing may also include tracking the status of anorder for each order that is being processed by cloud infrastructuresystem 100.

At 304, a business process associated with the order is identified. Insome instances, multiple business processes may be identified for anorder. Each business process identifies a series of steps for processingvarious aspects of the order. As an example, a first business processmay identify one or more steps related to provisioning physicalresources for the order, a second business process may identify one ormore steps related to creating an identity domain along with customeridentities for the order, a third business process may identify one ormore steps for related to performing back office functions such ascreating a customer record for the user, performing accounting functionsrelated to the order, and the like. In certain embodiments, differentbusiness processes may also be identified for processing differentservices in an order. For example, different business process may beidentified to process a CRM service and a database service.

At 306, the business process identified for the order in 304 isexecuted. Executing the business process associated with the order mayinclude orchestrating the series of steps associated with the businessprocess identified in step 304. For example, executing a businessprocess related to provisioning physical resources for the order mayinclude sending a request to SDI module 206 to allocate resources andconfigure those resources needed to fulfill the subscription order.

At 308, a notification is sent to the customer regarding the status ofthe provisioned order. Additional description related to performingsteps 302, 304, 306 and 308 is provided in detail in FIG. 3B.

FIG. 3B depicts a simplified high-level diagram of one or moresub-modules in the TAS module in the cloud infrastructure system, inaccordance with an embodiment of the present invention. In oneembodiment, the modules depicted in FIG. 3B perform the processingdescribed in steps 302-308 discussed in FIG. 3A. In the illustratedembodiment, TAS module 204 comprises an order-processing module 310, abusiness process identifier 312, a business process executor 316, anoverage framework 322, a workflow identification module 324, and abundled subscription generator module 326. These modules may beimplemented in hardware, or software, or combinations thereof. Thevarious modules of the TAS module depicted in FIG. 3B are meant forillustrative purposes only and are not intended to limit the scope ofembodiments of the present invention. Alternative embodiments mayinclude more or fewer modules than those shown in FIG. 3B.

In one embodiment, order processing module 310 receives an order from acustomer from one or more input sources 321. For example,order-processing module 310 may directly receive an order via cloud UI212 or store UI 210, in one embodiment. Alternatively, order-processingmodule 310 may receive an order from order management module 214 ororder database 224. Order processing module 310 then processes theorder. In certain embodiments, processing the order includes generatinga customer record which includes information about the order such as aservice type, a service level, a customer level, the type of resources,the amount of the resources to be allocated to the service instance anda time period during which the service is desired. As part of theprocessing, order-processing module 310 also determines whether theorder is a valid order. This includes ensuring that the customer doesnot already have subscriptions with the same name or that the customeris not attempting to create multiple subscriptions of the same type inthe same identity domain for subscription types where this is disallowed(such as, in the case of a fusion CRM service).

Order processing module 310 may also perform additional processing onthe order. Processing may include tracking the status of an order foreach order that is being processed by cloud infrastructure system 100.In one embodiment, order-processing module 310 may process each order toidentify a number of states pertaining to the order. In one example, thedifferent states of an order may be an initialized state, a provisionedstate, an active state, an administration required state, an errorstate, and the like. An initialized state refers to the state of a neworder; a provisioned state refers to the state of an order once theservices and resources for the order have been provisioned. An order isin an active state when the order has been processed by TAS module 204and a notification to that effect has been delivered to the customer. Anorder is in an administration-required state when intervention by anadministrator is needed to resolve the issue. The order is in an errorstate when the order cannot be processed. In addition to maintaining theorder progress status, order-processing module 310 also maintainsdetailed information about any failures encountered during processexecution. In other embodiments, and as will be discussed in detailbelow, the additional processing performed by order processing module310 may also include changing the service level for a service in thesubscription, changing the services included in the subscription,extending the time period of the subscription, and canceling thesubscription or specifying different service levels for different timeperiods in the subscription.

After an order has been processed by order processing module 310,business logic is applied to determine whether the order should proceedto provisioning. In one embodiment, as part of orchestrating the order,business process identifier 312 receives the processed order from orderprocessing module 310 and applies business logic to identify aparticular business process to use for the order being processed. In oneembodiment, business process identifier 312 may utilize informationstored in a service catalog 314 to determine the particular businessprocess to be used for the order. In one embodiment, and as discussed inFIG. 3A, multiple business processes may be identified for an order andeach business process identifies a series of steps for processingvarious aspects of the order. In another embodiment, and as discussedabove, different business processes may be defined for different typesof services, or combinations of services such as a CRM service or adatabase service. In one embodiment, service catalog 314 may storeinformation mapping an order to a particular type of business process.Business process identifier 312 may use this information to identify aspecific business process for the order being processed.

Once a business process has been identified, business process identifier312 communicates the particular business process to be executed tobusiness process executor 316. Business process executor 316 thenexecutes steps of the identified business process by operating inconjunction with one or more modules in the cloud infrastructure system100. In some embodiments, business process executor 316 acts as anorchestrator for performing the steps associated with a businessprocess. For example, the business process executor may interact withorder processing module 310 to execute steps in a business process thatidentifies workflows related to the order, determines the overage ofservices in the order, or identifies service components related to theorder.

In one example, business process executor 316 interacts with SDI module206 to execute steps in a business process for allocating andprovisioning resources for services requested in the subscription order.In this example, for each step in the business process, business processexecutor 316 may send a request to SDI component 206 to allocateresources and configure resources needed to fulfill the particular step.SDI component 206 is responsible for the actual allocation of theresources. Once all the steps of the business processes of an order havebeen executed, business process executor 316 may send a notification tothe customer of the processed order by utilizing the services ofservices component 202. The notification may include sending an emailnotification to the customer with details of the processed order. Theemail notification may also include deployment information related tothe order to enable the customer to access the subscribed services.

In certain embodiments, TAS module 204 may provide one or more TASApplication Programming Interfaces (APIs) 318 that enable TAS module 204to interact with other modules in cloud infrastructure system 100 andfor other modules to interact with TAS module 204. For example, the TASAPIs may include a system provisioning API that interacts with SDImodule 206 via an asynchronous Simple Object Access Protocol (SOAP)based web services call to provision resources for the customer'ssubscription order. In one embodiment, TAS module 204 may also utilizethe system provisioning API to accomplish system and service instancecreation and deletion, switch a service instance to an increased servicelevel, and associate service instances. An example of this is theassociation of a Java service instance to a fusion applications serviceinstance to allow secure web service communications. The TAS APIs mayalso include a notification API that interacts with the services module202 to notify the customer of a processed order. In certain embodiments,the TAS module 204 also periodically propagates subscriptioninformation, outages, and notifications (e.g. planned downtime) toservices component 202.

In certain embodiments, TAS module 204 periodically receives usagestatistics for each of the provisioned services such as the amount ofstorage used, the amount data transferred, the number of users, and theamount of system up time and system down time from EM module 208.Overage framework 322 utilizes the usage statistics to determine whetherover use of a service has occurred, and if so, to determine how much tobill for the overage, and provides this information to order managementmodule 214.

In certain embodiments, TAS module 204 includes an order workflowidentification module 324 that is configured to identify one or moreworkflows associated with processing a customer's subscription order. Incertain embodiments, TAS module 204 may include a subscription ordergeneration framework 326 for generating subscription orders for acustomer when the customer places a subscription order for one or moreservices offered by the cloud infrastructure system 100. In oneembodiment, a subscription order includes one or more service componentsresponsible for providing the services requested by a customer in thesubscription order.

Additionally, TAS module 204 may also interact with one or moreadditional databases such as a Tenant Information System (TIS) database320 to enable the provisioning of resources for one or more servicessubscribed by the customer while taking into consideration historicalinformation, if any, available for the customer. TIS database 320 mayinclude historical order information and historical usage informationpertaining to orders subscribed by the customer.

TAS module 204 may be deployed using different deployment models. Incertain embodiments, the deployment includes a central component thatinterfaces with one or more distributed components. The distributedcomponents may, for example, be deployed as various data centers andaccordingly may also be referred to as data center components. Thecentral component includes capabilities to process orders andco-ordinate services in cloud infrastructure system 100, while the datacenter components provide capabilities for provisioning and operatingthe runtime system that provides the resources for the subscribedservices.

FIG. 4 depicts an exemplary distributed deployment of the TAS module,according to an embodiment of the present invention. In the embodimentdepicted in FIG. 4, the distributed deployment of TAS module 204includes a TAS central component 400 and one or more TAS Data Centers(DCs) components 402, 404, and 406. These components may be implementedin hardware, or software, or combinations thereof.

In one embodiment, the responsibilities of TAS central component 400include, without limitation, to provide a centralized component forreceiving customer orders, performing order-related business operationssuch as creating a new subscription, changing the service level for aservice in the subscription, changing the services included in thesubscription, and extending the time period of the subscription, orcanceling the subscription. The responsibilities of TAS centralcomponent 400 may also include maintaining and serving subscription dataneeded by cloud infrastructure system 100 and interfacing with ordermanagement module 214, support UI 216, cloud UI 212, and store UI 210 tohandle all the back-office interactions.

In one embodiment, the responsibilities of TAS DCs 402, 404 and 406include, without limitation, performing runtime operations fororchestrating the provisioning the resources for one or more servicessubscribed by the customer. TAS DCs 402, 404 and 406 also includecapabilities to perform operations such as locking, unlocking, enabling,or disabling a subscription order, collecting metrics related to theorder, determining the status of the order, and sending notificationevents related to the order.

In an exemplary operation of the distributed TAS system shown in FIG. 4,TAS central component 400 initially receives an order from a customervia cloud UI 212, store UI 210, via order management system 214, or viaorder database 224. In one embodiment, the customer represents a buyerwho has financial information and the authority to order and/or change asubscription. In one embodiment, the order information includesinformation identifying the customer, the type of services that thecustomer wishes to subscribe to, and an account administrator who willbe responsible for handling the request. In certain embodiments, theaccount administrator may be nominated by the customer when the customerplaces an order for a subscription to one or more services offered bycloud infrastructure system 100. Based on the order information, the TAScentral component 400 identifies the data region of the world such asAmericas, EMEA, or Asia Pacific in which the order originates and theparticular TAS DCs (for e.g., 402, 404 or 406) that will be deployed forprovisioning the order. In one embodiment, the particular TAS DC (fore.g., from among DCs 402, 404 or 406) that will be deployed forprovisioning the order is determined based on the geographical dataregion in which the request originated.

TAS central component 400 then sends the order request to the particularTAS DC in which to provision services for the order request. In oneembodiment, TAS DCs 402, 404 or 406 identify a service administrator andan identity domain administrator responsible for processing the orderrequest at the particular TAS DC. The service administrator and theidentity administrator may be nominated by the account administratoridentified in the subscription order. TAS DCs 402, 404 or 406communicate with SDI module 204 to orchestrate the provisioning ofphysical resources for the order. SDI component 204 in respective TASDCs 402, 404 or 406 allocates resources and configures those resourcesneeded to fulfill the subscription order.

In certain embodiments, TAS DCs, 402, 404 or 406 identify an identitydomain associated with the subscription. SDI component 206 may providethe identity domain information to IDM component 200 (shown in FIG. 2)for identifying an existing identity domain or creating a new identitydomain. Once the order is provisioned by the SDI module at respectiveTAS DCs, 402, 404 or 406, TAS central component 400 may placeinformation regarding the provisioned resources in a support system, viasupport UI 216. Information may include, for example, displayingresource metrics related to the services and usage statistics of theservices.

Once in operation, at each data center, EM module 208 to periodicallycollects usage statistics for each of the provisioned servicesprovisioned at that data center, such as the amount of storage used, theamount data transferred, the number of users, and the amount of systemup time and system down time. These statistics are provided to the TASDC that is local to EM module 208 (i.e., at the same data center). In anembodiment, the TAS DCs may use the usage statistics to determinewhether overuse of a service has occurred, and if so, to determine howmuch to bill for the overage, and provide the billing information toorder management system 214.

FIG. 5 is a simplified block diagram illustrating the interactions ofthe SDI module with one or more modules in the cloud infrastructuresystem, in accordance with an embodiment of the present invention. Inone embodiment, SDI module 206 interacts with TAS module 204 toprovision resources for services in a subscription order received by TASmodule 204. In certain embodiments, one or more of the modulesillustrated in FIG. 5 may be modules within cloud infrastructure system100. In other embodiments, one or more of the modules that interact withSDI module 206 may be outside cloud infrastructure system 100. Inaddition, alternative embodiments may have more or less modules thanthose shown in FIG. 5. These modules may be implemented in hardware, orsoftware, or combinations thereof.

In one embodiment, the modules in SDI module 206 may include one or moremodules in SaaS platform 102 and PaaS platform 104 in cloudinfrastructure system 100. In order to perform provisioning of resourcesfor various services, SDI module 206 may interact with various othermodules, each customized to help with provisioning resources for aparticular type of service. For example, as illustrated in FIG. 5, SDImodule 206 may interact with a Java service provisioning control module500 to provision Java cloud services. In one embodiment, Java serviceprovisioning control component 500 may deploy a Java Cloud Service (JCS)assembly specified by SDI module 206 that includes a set of tasks to beperformed to provision Java cloud services. Infrastructure resources 106then determines the resources needed to provision the Java cloudservices.

As other examples, SDI module 206 may interact with one or more modulessuch as a Virtual Assembly Builder (VAB) module 502, an ApplicationExpress (APEX) deployer module 504, a Virtual Machine (VM) module 506,an IDM module 200, and a database machine module 118. VAB module 502includes capabilities to configure and provision complete multi-tierapplication environments. In one embodiment, VAB module 502 deploys aMiddleware (MW) service assembly specified by SDI module 206 toprovision a MW service in cloud infrastructure system 100 using theservices provided by VM module 506. APEX deployer module 504 includescapabilities to configure and provision database services. In oneembodiment, APEX deployer module 504 deploys a database service assemblyspecified by SDI module 206 to provision a database service in cloudinfrastructure system 100 using the resources provided by infrastructureresources 106. SDI module 206 interacts with IDM module 200 to provideidentity services such as access management across multiple applicationsin cloud infrastructure system 100.

FIG. 6 depicts a simplified high-level diagram of sub-modules of the SDImodule according to an embodiment of the present invention. In theembodiment depicted in FIG. 6, SDI module 206 includes a SDI-WebServices (WS) module 600, an SDI request controller module 602, an SDItask manager module 604, an SDI monitoring module 606, an SDI dataaccess module 608, an SDI common library module 610, and an SDIconnector module 612. These modules may be implemented in hardware, orsoftware, or combinations thereof. SDI module 206 depicted in FIG. 6 andits various modules are meant for illustrative purposes only and are notintended to limit the scope of embodiments of the present invention.Alternative embodiments may have more or less modules than those shownin FIG. 6. These modules and their functions are described in detailbelow.

SDI-WS module 600 includes capabilities for receiving a step in thebusiness associated with an order from business process executor 316 ofTAS component 204. In one embodiment, SDI-WS module 600 parses each stepof the business process and converts the step into an internalrepresentation used by SDI module 206. In one embodiment, each step ofthe business process associated with the order arrives through a webservice processing layer (for example, via System Provisioning APIdiscussed in FIG. 3B) in the form of a SOAP request to SDI-WS module600.

SDI request controller module 602 is the internal request-processingengine in SDI module 206 and includes capabilities for performingasynchronous request processing, concurrent request processing,concurrent task processing, fault tolerant and recovery and plug-insupport related to the order requests. In one embodiment, SDI requestcontroller module 602 accepts each step of the business processassociated with the order from SDI-WS module 600 and submits the step toSDI task manager module 604.

SDI task manager module 604 translates each step specified in thebusiness process into a series of tasks for provisioning the particularstep. Once the set of tasks for a specific step have been provisioned,SDI task manager module 604 responds to business process executor 316 inTAS module 204 with operation results that includes an order payloadwith details of the resources provisioned to fulfill the particularstep. SDI task manager module 604 repeats this process until all thesteps of the particular business process associated with the order arecomplete.

In certain embodiments, SDI task manager module 604 translates each stepspecified in the business process into a series of tasks by utilizingthe services of SDI connector module 612. SDI connector module 612includes one or more connectors for handling the deployment of tasksspecified by SDI task manager module 604 to provision one or moreservices related to the order request. In certain embodiments, one ormore of the connectors may handle tasks that are specific to aparticular service type while other connectors may handle tasks that arecommon across different service types. In one embodiment, SDI connectormodule 612 includes a set of connectors (wrapper APIs) that interfacewith one or more of the external modules (shown in FIG. 5) in cloudinfrastructure system 100 to provision the services and resourcesrelated to the order request. For example, Application Express (APEX)connector 614 interfaces with APEX deployer module 504 to provisiondatabase services. Web Center Connector 616 (WCC) interfaces with a webcenter module in cloud infrastructure system 100 to provision webservices. The web center module is a user engagement platform andincludes capabilities for delivering connectivity between people andinformation in cloud infrastructure system 100.

In certain embodiments, Middleware Applications (MA) connector 618interfaces with VAB module 502 in cloud infrastructure system 100 toprovision middleware application services. NUVIAQ connector 620interfaces with VAB module 502 to provision Java services. IDM connector622 interfaces with IDM module 200 to provide identity and accessmanagement for users subscribing to services and resources in cloudinfrastructure system 100. Virtual Assembly Builder (VAB) connector 624interfaces with VAB module 502 in cloud infrastructure system 100 toconfigure and provision complete multi-tier application environments.Plug-in connector 626 interfaces with EM module 208 to manage andmonitor the components in cloud infrastructure system 100. HTTP serverconnector 628 interfaces with one or more web servers in the PaaSplatform to provide connection services to users in cloud infrastructuresystem 100.

SDI monitoring module 606 in SDI module 206 provides an inboundinterface for receiving Java Management Extensions (JMX) requests. SDImonitoring module 606 also provides tools for managing and monitoringapplications, system objects, and devices in cloud infrastructure system100. SDI-data access module 608 provides an inbound interface forreceiving Java Database Connectivity (JDBC) requests. SDI-data accessmodule 608 supports data access and provides object relational mapping,java transaction API services, data access objects, and connectionpooling in cloud infrastructure system 100. The SDI-common librarymodule 610 provides configuration support for the modules in SDI module206.

The embodiment of FIG. 6 discussed above describes modules in the SDImodule according to an embodiment of the present invention. FIG. 7Adepicts a simplified flowchart 700 depicting processing that may beperformed by the modules of the SDI module in the cloud infrastructuresystem, in accordance with an embodiment of the present invention. Theprocessing depicted in FIG. 7A may be implemented in software (e.g.,code, instructions, program) executed by one or more processors,hardware, or combinations thereof. The software may be stored in memory(e.g., on a memory device, on a non-transitory computer-readable storagemedium). The particular series of processing steps depicted in FIG. 7Ais not intended to be limiting. Other sequences of steps may also beperformed according to alternative embodiments. For example, alternativeembodiments of the present invention may perform the steps outlinedabove in a different order. Moreover, the individual steps illustratedin FIG. 7A may include multiple sub-steps that may be performed invarious sequences as appropriate to the individual step. Furthermore,additional steps may be added or removed depending on the particularapplications. One of ordinary skill in the art would recognize manyvariations, modifications, and alternatives. In one embodiment, theprocessing depicted in FIG. 7A may be performed by one or more modulesin the SDI module 206 discussed in detail in FIG. 6.

At 702, a business process associated with a subscription order isreceived. In one embodiment, SDI-WS module 600 in SDI module 206receives one or more steps in the business process associated with thesubscription order from business process executor 316. At 704, each stepin the business process is translated into a series of tasks forprovisioning resources for the subscription order. In one embodiment,SDI task manager module 604 in SDI module 206 translates each stepspecified in the business process into a series of tasks by utilizingthe services of SDI connector module 612. At 706, the subscription orderis provisioned based on the series of tasks. In one embodiment, and asdiscussed in FIG. 6, SDI connector module 612 includes one or moreconnectors for handling the deployment of tasks specified by SDI taskmanager module 604 to provision resources for the services in thesubscription order.

As described above with respect to FIG. 6, SDI task manager module 604translates each step specified in a business process into a series oftasks by utilizing the services of SDI connector module 612, which mayinclude one or more connectors for handling the deployment of tasksspecified by SDI task manager module 604 to provision one or moreservices related to the order request. One or more of the connectors mayhandle tasks that are specific to a particular service type while otherconnectors may handle tasks that are common across different servicetypes. In one embodiment, SDI connector module 612 includes a set ofconnectors (wrapper APIs) that interface with one or more of theexternal modules (shown in FIG. 5) in cloud infrastructure system 100 toprovision the services and resources related to the order request. Forexample, a NUVIAQ connector 620 interfaces with VAB module 502 toprovision Java services.

FIG. 7B depicts a simplified block diagram showing the high-levelarchitecture of a Nuviaq system 710 and its relationships with othercloud infrastructure components according to an embodiment of thepresent invention. It should be appreciated that Nuviaq system 710depicted in FIG. 7B may have other components than those depicted inFIG. 7B. Further, the embodiment shown in FIG. 7B is only one example ofa cloud infrastructure system that may incorporate an embodiment of theinvention. In some other embodiments, Nuviaq system 710 may have more orfewer components than shown in FIG. 7B, may combine two or morecomponents, or may have a different configuration or arrangement ofcomponents.

In certain embodiments, Nuviaq system 710 may be configured to provide aruntime engine for orchestrating PaaS operations. Nuviaq system 710 mayprovide a web service API to facilitate integration with other productsand services. Nuviaq system 710 also provides support for complexworkflows in system provisioning, application deployment and associatedlifecycle operations, and integrates with management and monitoringsolutions.

In the embodiment depicted in FIG. 7B, Nuviaq system 710 comprises aNuviaq proxy 712, a Nuviaq manager 714, and a Nuviaq database 716. Incertain embodiments, Nuviaq manager 714 provides an entry point intoNuviaq system 710, providing secure access to PaaS operations via theweb service API. Internally, it tracks system state in the database andcontrols job execution on the workflow engine. In a public cloud, Nuviaqmanager 714 may be accessed by the Tenant Provisioning system (SDI 206)and the Tenant Console, to drive provisioning and deployment operationsrespectively.

In one embodiment, Nuviaq manager 714 executes jobs asynchronously viaan internal workflow engine. A job may be a sequence of actions specificto a given PaaS workflow. Actions may be performed in order, withfailure in any step resulting in failure of the overall job. Manyworkflow actions delegate to external systems relevant to the workflow,such as the EM command line interface (cli). In one implementation,Nuviaq manager 714 application may be hosted in a 2-node WebLogiccluster with associated HTTP server (e.g., Oracle HTTP Server or OHS)instance, running inside a firewall.

In certain embodiments, Nuviaq proxy 712 is the public access point tothe Nuviaq API. In one embodiment, only Public API may be exposed here.Requests received by proxy 712 may be forwarded to Nuviaq manager 714.In one embodiment, Nuviaq proxy 712 runs outside the firewall, whereasmanager 714 runs within the firewall. In one implementation, Nuviaqproxy 712 application runs on a WebLogic cluster running outside thefirewall.

In certain embodiments, Nuviaq database 716 tracks various domainentities such as, without limitation, platform instance, deploymentplan, application, WebLogic domain, jobs, alerts, and the like. Primarykeys may be aligned with the Service Database where appropriate.

In one embodiment, Platform Instance 718 may contain all resourcesrequired for a WebLogic service for a given tenant.

Nuviaq system 710 may rely on additional systems of cloud infrastructuresystem 100 to carry out the workflows used the WebLogic cloud service.These dependencies may include dependencies on SDI 206, IDM 200, a virusscan system, a service database, CRM instances, and the like. Forexample, Nuviaq system 710 may depend upon functions performed by anAssembly Deployer in SDI 206. In one embodiment, the Assembly Deployeris a system to manage interactions with OVAB (Oracle Virtual AssemblyBuilder) and OVM (Oracle Virtual Machine). Capabilities of the AssemblyDeployer used by Nuviaq system 710 may include, without limitation,functions for deploying an assembly, un-deploying an assembly,describing assembly deployment, scaling appliance, and the like. In oneimplementation, Nuviaq system 710 accesses the Assembly Deployer via aweb service API.

In certain embodiments, security policies may require certain artifactsto be scanned for viruses before being deployed to an application. Cloudinfrastructure system 100 may provide a virus scan system for thispurpose that provides scanning as a service for multiple components ofthe public cloud.

In certain embodiments, a public cloud infrastructure may maintain aService Database containing information about tenants (e.g., customers)and their service subscriptions. Nuviaq workflows may access to thisdata in order to properly configure a WebLogic service as a client toother services that the tenant also subscribes to.

Nuviaq system 710 may depend on IDM 200 for its security integration. Incertain embodiments, Java Service instances can be associated with a CRMinstance. The association allows user applications deployed to theirJava Service instance to access a CRM instance though Web Service calls.

Various entities may use services provided by Nuviaq system 710. Theseclients of Nuviaq system 710 may include: a Tenant Console, which is anmanagement server (e.g., Oracle Management Server) based user interfacethat customers may access to manage their applications on their platforminstances; several IDEs such as Oracle IDEs (JDeveloper, NetBeans, andOEPE) have been extended to offer access to application lifecyclemanagement operations; one or more Command Line Interfaces (CLIs) thatare available to access lifecycle operations on the platform instances.

Provisioning use case for Nuviaq system 710—A Provision PlatformInstance use case is realized via the Create Platform Instance operationof the Nuviaq API. In the context of cloud infrastructure system 100, aservice instance with respect to the Nuviaq system corresponds to aNuviaq platform instance. A platform instance is assigned a uniqueidentifier is used on all subsequent operations related to thisinstance. A Platform Deployment descriptor provided to the CreatePlatform Instance action allows for properties to be set that modify theconfiguration of the platform instance to meet the subscriptionrequirements of the tenant. These properties may include for example:

Property#1: oracle.cloud.service.weblogic.size

-   -   Values: BASIC, STANDARD, ENTERPRISE    -   Description: Specifies the subscription type. This impacts the        number of servers, database limits and quality of service        settings.        Property#2: oracle.cloud.service.weblogic.trial    -   Values: TRUE, FALSE    -   Description: Indicates whether or not this is a trial        subscription.        Property#3: oracle.cloud.service.weblogic.crm    -   Values: CRM Service ID    -   Description: Identifies a CRM service to be associated with this        WebLogic service instance.

FIG. 7C depicts an example sequence diagram illustrating steps of aprovisioning process using a Nuviaq system according to an embodiment ofthe present invention. The sequence diagram depicted in FIG. 7C is onlyan example and is not intended to be limiting.

Install/Update Application use case—The Install Application operationdeploys an application to a running WebLogic Server after validatingthat the application archive meets the security requirements of thePublic Cloud. In one embodiment, the Application Deployment descriptorprovided to the Install Application action allows for properties to beset that modify the configuration of the application to meet thesubscription requirements of the tenant. These properties may includefor example:

Property: oracle.cloud.service.weblogic.state

-   Values: RUNNING, STOPPED-   Description: Specifies the initial state of the application after    deployment.

FIG. 7D depicts an example sequence diagram illustrating steps of adeployment process using a Nuviaq system according to an embodiment ofthe present invention. The sequence diagram depicted in FIG. 7D is onlyan example and is not intended to be limiting.

Referring back to FIG. 2, in certain embodiments, TAS 204 and SDI 206working in cooperation are responsible for provisioning resources forone or more services ordered by a customer from a set of servicesoffered by cloud infrastructure system 100. For example, in oneembodiment, for provisioning a database service, the automatedprovisioning flow may be as follows for a paid subscription:

-   (1) Customer places an order for a paid subscription to a service    via Store UI 210.-   (2) TAS 204 receives the subscription order.-   (3) When services are available TAS 204 initiates provisioning by    using the services of SDI 206. TAS 204 may perform business process    orchestration, which will execute the relevant business process to    complete the provisioning aspect of the order. In one embodiment,    TAS 204 may use a BPEL (Business Process Execution Language) Process    Manager to orchestrate the steps involved in the provisioning and    handle the lifecycle operations.-   (4) In one embodiment, to provision a database service, SDI 206 may    call PLSQL APIs in the CLOUD_UI to associate a schema for the    requesting customer.-   (5) After successful association of a schema to the customer, SDI    signals TAS and TAS send a notification to the customer that the    database service is now available for use by the customer.-   (6) The customer may log into cloud infrastructure system 100 (e.g.,    using an URAL such as cloud.oracle.com) and activate the service.

In some embodiments, a customer may also be allowed to subscribe to aservice on a trial basis. For example, such a trial order may bereceived via cloud UI 212 (e.g., using cloud.oracle.com).

In certain embodiments, cloud infrastructure system 100 enablesunderlying hardware and service instances to be shared between customersor tenants. For example, the database service may be provisioned asshown in FIG. 7E in one embodiment. FIG. 7E depicts multiple Exadatacompute nodes 730 and 732, each providing a database instanceprovisioned for the database service. For example, compute node 730provides a database instance 734 for a database service. Each Exadatacompute node may have multiple database instances.

In certain embodiments, each database instance can comprise multipleschemas and the schemas may be associated with different customers ortenants. For example, in FIG. 7E, database instance 734 provides twoschemas 736 and 738, each with its own tables. Schema 736 may beassociated with a first customer or tenant subscribing to a databaseservice and schema 738 may be associated with a second customer ortenant subscribing to the database service. Each tenant gets acompletely isolated schema. Each schema acts like a container that canmanage database objects including tables, views, stored procedures,triggers, etc. for the associated tenant. Each schema may have onededicated tablespace, with each tablespace having one data file.

In this manner, a single database instance can provide database servicesto multiple tenants. This not only enables sharing of underlyinghardware resources but also enables sharing of service instance betweentenants.

In certain embodiments, such a multi-tenancy system is facilitated byIDM 200, which beneficially enables multiple separate customers, eachhaving their own separate identity domains, to use hardware and softwarethat is shared in the cloud. Consequently, there is no need for eachcustomer to have its own dedicated hardware or software resources, andin some cases resources that are not being used by some customers at aparticular moment can be used by other customers, thereby preventingthose resources from being wasted. For example, as depicted in FIG. 7E,a database instance can service multiple customers each with theirrespective identity domains. Although each such database serviceinstance can be a separate abstraction or view of a single physicalmulti-tenant database system that is shared among the many separateidentity domains, each such database service instance can have aseparate and potentially different schema than each other databaseservice instance has. Thus, the multi-tenant database system can storemappings between customer-specified database schemas and the identitydomains to which those database schemas pertain. The multi-tenantdatabase system can cause the database service instance for a particularidentity domain to use the schema that is mapped to that particularidentity domain.

The multi-tenancy can also be extended to other services such as theJava Service. For example, multiple customers can have a JAVA serviceinstance placed within their respective identity domains. Each suchidentity domain can have a JAVA virtual machine, which can be viewed asbeing a virtual “slice” of hardware. In one embodiment, a job-monitoringservice (e.g., Hudson) can be combined with a JAVA enterprise editionplatform (e.g., Oracle WebLogic) in the cloud to enable each separateidentity domain to have its own separate virtual “slice” of the JAVAenterprise edition platform. Such a job-monitoring service can, forexample, monitor the execution of repeated jobs, such as building asoftware project or jobs run by an operating system's time-based jobscheduler. Such repeated jobs can include the continuous building and/ortesting of software projects. Additionally or alternatively, suchrepeated jobs can include the monitoring of executions of operatingsystem-run jobs that are executed on machines that are remote from themachine on which the job-monitoring service executes.

Intelligent Data Center Selection

In certain embodiments, cloud infrastructure system 100 enablesselection of appropriate data centers to host subscriptions. In theembodiment depicted in FIG. 4, the distributed deployment of TAS module204 includes TAS central component 400 and one or more TAS DCs 402, 404and 406 within data centers 1, 2, and 3 respectively. In one aspect, TAScentral component 400 receives customer orders and performsorder-related business operations such as creating subscriptions.

The efficacy of TAS central component 400 lies in its flexibility andability to handle a wide variety of inputs. Inputs can be processedthrough an intelligent workflow using order-related information allowingTAS central component 400 to determine which data center will host thesubscriptions. In one aspect, some types of inputs to the workflowinclude static inputs and dynamic inputs.

Static inputs as used herein generally refer to scriptable custom rulesand algorithms provided by a system administrator. These rules usedynamic parameters and result in a list of data centers (DCs). Rules canbe assigned a priority and can be executed in priority order.Additionally, the algorithms to be applied to a list of DCs work on alist to output a DC. An algorithm can be applied at two levels—at eachrule level, and at a global level.

Dynamic inputs as used herein generally refer to customer orderparameters, DC availability metrics, and DC capacity metrics. Customerorder parameters can include customer name and other attributes, servicetype being ordered, and other service attributes, etc. DC availabilitymetrics and levels can include the available capacity for each servicetype in a DC, and can be used to filter a list of DCs. DC capacitymetrics and levels cans include the total capacity for each service typein a DC, and can be used to filter a list of DCs.

In various embodiments, the responsibilities of TAS central component400 may also include maintaining metrics needed by cloud infrastructuresystem 100 to make appropriate selections between data centers. Based onmetrics about each data center, TAS central component 400 can determinewhich data center will host the subscriptions. The responsibilities ofTAS central component 400 may also include maintaining additionalrequirements needed by cloud infrastructure system 100 to makeappropriate selections between data centers. Based on these additionalrequirements, such as local laws or regulations, TAS central component400 can determine which data center will host the subscriptions.

FIG. 8 illustrates a high level overview of the various interactionsinvolved to provide intelligent data center selection in accordance withan embodiment of the present invention. According to this embodiment,the distributed TAS system shown in FIG. 4, TAS central component 400includes a TAS DC Selection System that initially receives an order madeby a customer via cloud UI 212, store UI 210, via order managementsystem 214, or via order database 224. In this example, TAS DC SelectionSystem receives order information from an order submission script. Thecustomer may be ordering one or more subscriptions. The orderinformation can include information identifying the customer, the typeof services that the customer wishes to subscribe to, user information,and any other information relevant to the customer and subscription.Based on the order information, the TAS DC Selection System can identifyone or more regions of the world (such as Americas, EMEA, or AsiaPacific) from which the order originates or to which region asubscription may be designated.

The TAS DC Selection System can then select a Chosen DC for the orderusing a preprocessing layer, a rules engine, an algorithm-basedselection layer, and TAS Tables to determine the Chosen DC (e.g., whichparticular TAS DCs (for e.g., 402, 404 or 406) will be employed forprovisioning the order). In various embodiments, the TAS DC SelectionSystem retrieves objectives, rules, algorithms, and other data from theTAS Tables. An administrator can define the objectives, create rules,and specify selection algorithms using an Admin module of the TAS DCSelection System.

In some embodiments, the TAS DC Selection System retrieves data centerinformation aggregated from various data centers. A DC Info Poller canconnect to each of the data centers (e.g., to SDI 206 of each datacenter) to obtain information about the operation of the data center,services offered, subscriptions hosted, resource allocations, resourceavailability, as well as other information related the data center. Insome embodiments, the TAS DC Selection System can retrieve service todata center strategy mappings from the TAS Tables.

Based on information retrieved from the TAS Tables and the orderinformation received from the Order submission script, the TAS DCSelection System utilizes the preprocessing layer, the rules engine, andthe algorithm-based selection layer to select the Chosen DC. The TAS DCSelection System can then send an order request to the Chosen DC inwhich to provision services for the order request.

In some embodiments, the TAS DC Selection System receives the orderinformation from an Order Poller. For services that are provisioned buthave a custom DCS mechanism, the Order Poller can identify orders wherea data center is not set. The Order Poller can call an appropriate APIand get the Chosen DC from the TAS DC Selection System.

FIGS. 9A-9B are a flowchart of method 900 for selecting a data center tohost a cloud subscription according to various embodiments. Theprocessing depicted in FIGS. 9A-9B may be implemented in software (e.g.,code, instructions, program) executed by one or more processors,hardware, or combinations thereof. The software may be stored in memory(e.g., on a memory device, on a non-transitory computer-readable storagemedium). The particular series of processing steps depicted in FIGS.9A-9B is not intended to be limiting. Other sequences of steps may alsobe performed according to alternative embodiments. For example,alternative embodiments of the present invention may perform the stepsoutlined above in a different order. Moreover, the individual stepsillustrated in FIGS. 9A-9B may include multiple sub-steps that may beperformed in various sequences as appropriate to the individual step.Furthermore, additional steps may be added or removed depending on theparticular applications. One of ordinary skill in the art wouldrecognize many variations, modifications, and alternatives. FIG. 9Abegins in step 902.

In step 902, order information is received. For example, the TAS DCSelection System of FIG. 8 can receive an order, order item, and DCregion. In step 904, a list of selectable DCs is obtained, for example,within DCRegion & available pods>0 for given service, sub type; thenstored in a GDCList (global data center list).

In step 906, a determination is made as to the size of the GDCList. Ifthe size of the GDCList is 0, in step 908, a choice among zero capacitypods is made. The data centers having zero capacity pods are added tothe GDCList. Additionally, if GDCList is still empty, the preferred DCfor the given region is added to the GDCList. Processing then returns tostep 906. If the size of the GDCList is 1, in step 910, the chose DC isreturned allowing TAS DC Selection System to request that the chosen DChost the subscription.

If the size of the GDCList in step 906 is greater than 1, in step 912, aset of matched rules is obtained. As indicated above, TAS DC SelectionSystem utilizes a rules engine to process the GDCList according to a setof rules. A rule as used in embodiments of the present inventionincludes a condition clause and one or more action clauses. Thecondition clause specifies one or more conditions that must be satisfiedin order for the rule to match. An action clause defines one or moreactions to be taken for a matching rule. The actions are used to filterout DCs from the GDCList. In one embodiment, an action specificallyexcludes a DC from the GDCList. In one embodiment, an action applies apredetermined algorithm to the GDCList to filter the GDCList.

Each rule in the set of rules can be identified (matched) usingproperties of the order, customer, DC region, or the like to satisfy thecondition clauses. In step 914, a determination is made as to the sizeof the set of matched rules. If there are no matched rules, in step 916,a global algorithm is used on the GDCList to determine a chosen DC(which is returned in step 910).

If there are one or more rules in the set, a determination is made as tothe ordering of processing of the rules in the set. For example, in step918, the highest priority rule yet to be considered is then evaluated.In step 920, a determination is made whether the rule includes an actionclause. If no action clause is present, processing continues in FIG. 9Bvia reference “B.”

If an action clause is present, the action clause is applied in step922. TAS DC Selection System can intersect the GDCList with a list ofDCs created by applying action clause. In step 924, a determination ismade as to the number of DCs after the intersection. If there are 0 DCs,a determination is made in step 926 whether there are any more matchingrules. If so, processing continues in step 918. If not, processingcontinues in step 916 where the global selection algorithm is appliedfor choosing the appropriate DC.

If there is one (1) DC left in the determination is step 924, in step928, the remaining DC is returned as the chosen DC. If there is morethan one DC left in the list, processing continues in FIG. 9B viareference “A.”

Referring to FIG. 9B, a determination is made whether an actionalgorithm exists in step 930. A rule can specify an action algorithmthat further filters a list of DCs. If no action algorithm is specified,in step 932, the global algorithm is then applied to determine theappropriate DC. If an action algorithm does exist, in step 934, theaction algorithm is applied on input list. In one embodiment, if thereis a preferred algorithm, it should choose one among input listdefinitively (i.e., if preferred DC is not among input list, it picksrandom DC from the input list). Other algorithms should definitivelypick one from the input list. In step 936, the chosen DC is returnedfrom the list.

In some embodiments, an administrator can add data center selectionrules at will. The following are a few examples of commands that adddata center selection rules and show what the rules can look like.

Rule #1—Always select a particular data center for a particular customer

add_data_center_selection_rule—name us3_for_bmwcustomer—rule_clause“orders.customer_name=‘bmw’”—action “id=‘US003’”—status ACTIVE—priority5

Rule #2—Always select least cost data center for a particular customer(overrides global algorithm)

add_data_center_selection_rule --name leastcost_dc_for_bmwcustomer--rule_clause ″orders.customer_name=′bmw″′ --action_algo “LEAST_COST”--status ACTIVE --priority 5

Rule #3—Always select least cost data center for TRIAL orders

add_data_center_selection_rule --name leastcost_dc_fortrial--rule_clause ″ order_items.subscription_type=’TRIAL’″ --action_algo“LEAST_COST”

Rule #4—Not select a particular data center

add_data_center_selection_rule --name donot_select_us1_for_trials--rule_ clause ″ order_items.subscription_type =’TRIAL’″ --action“id<>’US001’”

Rule #5—Action containing multiple properties

add_data_center_selection_rule --name select_below35USdc_for_java--rule_clause ″service_type like ′JAVA′″ --action ″id like ′US%′ anddevops_weight < 35″ --status ACTIVE --priority 5

Rule #6—Specifying action algorithm for the list of DCs filtered byaction

add_data_center_selection_rule --name lru_algo_among_sub200dcs_for_ java--rule_clause ″service_type_like ′JAVA′″ --action ″devops_weight < 200″--action_algo LFU --status ACTIVE --priority 5

FIG. 10 is a flowchart of method 1000 for selecting a data center tohost a cloud subscription according to various embodiments. Theprocessing depicted in FIG. 10 may be implemented in software (e.g.,code, instructions, program) executed by one or more processors,hardware, or combinations thereof. The software may be stored in memory(e.g., on a memory device, on a non-transitory computer-readable storagemedium). The particular series of processing steps depicted in FIG. 10is not intended to be limiting. Other sequences of steps may also beperformed according to alternative embodiments. For example, alternativeembodiments of the present invention may perform the steps outlinedabove in a different order. Moreover, the individual steps illustratedin FIG. 10 may include multiple sub-steps that may be performed invarious sequences as appropriate to the individual step. Furthermore,additional steps may be added or removed depending on the particularapplications. One of ordinary skill in the art would recognize manyvariations, modifications, and alternatives. FIG. 10 begins in step1002.

In step 1002, preprocessing is performed. In various embodiments, apreprocessing layer of the TAS DC Selection System of FIG. 8 providesflexibility to choose among only ‘valid’ DCs. Based on a requestedservice/subscription-type from the order information, the TAS DCSelection System can obtain a list of all the available data centersthat can serve any ordered services or service-subscription types. Inone aspect, the list of all the available data centers is filtered downusing a set of active rules and algorithms to determine at least oneappropriate data center.

In step 1004, rules processing is performed. In various aspects, the TASDC Selection System parses or processes a set of active rules todetermine a set of matched rules. A rule may be assigned a priority andthe TAS DC Selection System may apply matched rules based on theirassigned priority. Each rule can define criteria that need to besatisfied in order for the rule to be considered a match. Criteria thatmay be used to match a rule can include criteria related to the orderinformation, criteria related to each data center, criteria related tocloud infrastructure system 100, or the like.

A rule can also define, reference, or otherwise indicate an action,algorithm, logic, or combinations thereof. In one aspect, a rule actiondefines, refers to, or otherwise identifies a set of one or moreoperations, instructions, logic, steps, or the like to be performed orapplied to the list of all the available data centers determine in thepreprocessing of step 1002 to filter out data centers and otherwisedetermine a new list of available data centers. A rule algorithm definesone or more algorithms that based on a set of inputs to be performed orimplemented to filter out data centers and otherwise determine a newlist of available data centers. In some embodiments, a rule defines onlya rule action. A default algorithm or universal selection mechanism isapplied to the new set of data centers resulting from application of therule action.

In step 1006, the set of matched rules are applied. For example, when arule action is defined, TAS DC Selection System computes an appropriatedata center or list of appropriate data centers from the action. When arule algorithm is defined, TAS DC Selection System selects that specificalgorithm for computing an appropriate data center or list ofappropriate data centers. If no data centers are available for selectionor if no data centers are obtained as a result of applying the set ofmatched rules, TAS DC Selection System can select a default data centerfor the service.

In various embodiments, if a matched rule when applied resulted in alist of data centers, a default algorithm for determining an appropriatedata center is run against that list of data centers. If an algorithm isdefined by or otherwise chosen by a matched rule when applied, thatalgorithm is run instead of any default selection algorithms. In someembodiments, a rule specifies or otherwise indicates only a rulealgorithm. Application of the rule causes TAS DC Selection System toapply the provided rule algorithm to obtain a new set of data centersand select from among the data centers in the new set of data centers.In further embodiments, a rule may define both a rule action and a rulealgorithm. Application of the rule causes TAS DC Selection System toapply the provided rule algorithm to a new set of data centers resultingfrom application of the rule action.

In step 1008, a data center is determined. In various embodiments, TASDC Selection System begins with a list of data centers that may beappropriate to host the subscription and filters down the list to selectan appropriate data center to identify one data center or at least asmaller subset of data centers in the list. FIG. 10 ends in step 1008.

CONCLUSION

FIG. 11 depicts a simplified diagram of a distributed system 1100 forimplementing one of the embodiments. In the illustrated embodiment,distributed system 1100 includes one or more client computing devices1102, 1104, 1106, and 1108, which are configured to execute and operatea client application such as a web browser, proprietary client (e.g.,Oracle Forms), or the like over one or more network(s) 1110. Server 1112may be communicatively coupled with remote client computing devices1102, 1104, 1106, and 1108 via network 1110.

In various embodiments, server 1112 may be adapted to run one or moreservices or software applications provided by one or more of thecomponents of the system. In some embodiments, these services may beoffered as web-based or cloud services or under a Software as a Service(SaaS) model to the users of client computing devices 1102, 1104, 1106,and/or 1108. Users operating client computing devices 1102, 1104, 1106,and/or 1108 may in turn utilize one or more client applications tointeract with server 1112 to utilize the services provided by thesecomponents.

In the configuration depicted in the figure, the software components1118, 1120 and 1122 of system 1100 are shown as being implemented onserver 1112. In other embodiments, one or more of the components ofsystem 1100 and/or the services provided by these components may also beimplemented by one or more of the client computing devices 1102, 1104,1106, and/or 1108. Users operating the client computing devices may thenutilize one or more client applications to use the services provided bythese components. These components may be implemented in hardware,firmware, software, or combinations thereof. It should be appreciatedthat various different system configurations are possible, which may bedifferent from distributed system 1100. The embodiment shown in thefigure is thus one example of a distributed system for implementing anembodiment system and is not intended to be limiting.

Client computing devices 1102, 1104, 1106, and/or 1108 may be portablehandheld devices (e.g., an iPhone®, cellular telephone, an iPad®,computing tablet, a personal digital assistant (PDA)) or wearabledevices (e.g., a Google Glass® head mounted display), running softwaresuch as Microsoft Windows Mobile®, and/or a variety of mobile operatingsystems such as iOS, Windows Phone, Android, BlackBerry 10, Palm OS, andthe like, and being Internet, e-mail, short message service (SMS),Blackberry®, or other communication protocol enabled. The clientcomputing devices can be general purpose personal computers including,by way of example, personal computers and/or laptop computers runningvarious versions of Microsoft Windows®, Apple Macintosh®, and/or Linuxoperating systems. The client computing devices can be workstationcomputers running any of a variety of commercially-available UNIX® orUNIX-like operating systems, including without limitation the variety ofGNU/Linux operating systems, such as for example, Google Chrome OS.Alternatively, or in addition, client computing devices 1102, 1104,1106, and 1108 may be any other electronic device, such as a thin-clientcomputer, an Internet-enabled gaming system (e.g., a Microsoft Xboxgaming console with or without a Kinect® gesture input device), and/or apersonal messaging device, capable of communicating over network(s)1110.

Although exemplary distributed system 1100 is shown with four clientcomputing devices, any number of client computing devices may besupported. Other devices, such as devices with sensors, etc., mayinteract with server 1112.

Network(s) 1110 in distributed system 1100 may be any type of networkfamiliar to those skilled in the art that can support datacommunications using any of a variety of commercially-availableprotocols, including without limitation TCP/IP (transmission controlprotocol/Internet protocol), SNA (systems network architecture), IPX(Internet packet exchange), AppleTalk, and the like. Merely by way ofexample, network(s) 1110 can be a local area network (LAN), such as onebased on Ethernet, Token-Ring and/or the like. Network(s) 1110 can be awide-area network and the Internet. It can include a virtual network,including without limitation a virtual private network (VPN), anintranet, an extranet, a public switched telephone network (PSTN), aninfra-red network, a wireless network (e.g., a network operating underany of the Institute of Electrical and Electronics (IEEE) 802.11 suiteof protocols, Bluetooth®, and/or any other wireless protocol); and/orany combination of these and/or other networks.

Server 1112 may be composed of one or more general purpose computers,specialized server computers (including, by way of example, PC (personalcomputer) servers, UNIX® servers, mid-range servers, mainframecomputers, rack-mounted servers, etc.), server farms, server clusters,or any other appropriate arrangement and/or combination. In variousembodiments, server 1112 may be adapted to run one or more services orsoftware applications described in the foregoing disclosure. Forexample, server 1112 may correspond to a server for performingprocessing described above according to an embodiment of the presentdisclosure.

Server 1112 may run an operating system including any of those discussedabove, as well as any commercially available server operating system.Server 1112 may also run any of a variety of additional serverapplications and/or mid-tier applications, including HTTP (hypertexttransport protocol) servers, FTP (file transfer protocol) servers, CGI(common gateway interface) servers, JAVA® servers, database servers, andthe like. Exemplary database servers include without limitation thosecommercially available from Oracle, Microsoft, Sybase, IBM(International Business Machines), and the like.

In some implementations, server 1112 may include one or moreapplications to analyze and consolidate data feeds and/or event updatesreceived from users of client computing devices 1102, 1104, 1106, and1108. As an example, data feeds and/or event updates may include, butare not limited to, Twitter® feeds, Facebook® updates or real-timeupdates received from one or more third party information sources andcontinuous data streams, which may include real-time events related tosensor data applications, financial tickers, network performancemeasuring tools (e.g., network monitoring and traffic managementapplications), clickstream analysis tools, automobile trafficmonitoring, and the like. Server 1112 may also include one or moreapplications to display the data feeds and/or real-time events via oneor more display devices of client computing devices 1102, 1104, 1106,and 1108.

Distributed system 1100 may also include one or more databases 1114 and1116. Databases 1114 and 1116 may reside in a variety of locations. Byway of example, one or more of databases 1114 and 1116 may reside on anon-transitory storage medium local to (and/or resident in) server 1112.Alternatively, databases 1114 and 1116 may be remote from server 1112and in communication with server 1112 via a network-based or dedicatedconnection. In one set of embodiments, databases 1114 and 1116 mayreside in a storage-area network (SAN). Similarly, any necessary filesfor performing the functions attributed to server 1112 may be storedlocally on server 1112 and/or remotely, as appropriate. In one set ofembodiments, databases 1114 and 1116 may include relational databases,such as databases provided by Oracle, that are adapted to store, update,and retrieve data in response to SQL-formatted commands.

FIG. 12 illustrates an exemplary computer system 1200, in which variousembodiments of the present invention may be implemented. The system 1200may be used to implement any of the computer systems described above. Asshown in the figure, computer system 1200 includes a processing unit1204 that communicates with a number of peripheral subsystems via a bussubsystem 1202. These peripheral subsystems may include a processingacceleration unit 1206, an I/O subsystem 1208, a storage subsystem 1218,and a communications subsystem 1224. Storage subsystem 1218 includestangible computer-readable storage media 1222 and a system memory 1210.

Bus subsystem 1202 provides a mechanism for letting the variouscomponents and subsystems of computer system 1200 communicate with eachother as intended. Although bus subsystem 1202 is shown schematically asa single bus, alternative embodiments of the bus subsystem may utilizemultiple buses. Bus subsystem 1202 may be any of several types of busstructures including a memory bus or memory controller, a peripheralbus, and a local bus using any of a variety of bus architectures. Forexample, such architectures may include an Industry StandardArchitecture (ISA) bus, Micro Channel Architecture (MCA) bus, EnhancedISA (EISA) bus, Video Electronics Standards Association (VESA) localbus, and Peripheral Component Interconnect (PCI) bus, which can beimplemented as a Mezzanine bus manufactured to the IEEE P1386.1standard.

Processing unit 1204, which can be implemented as one or more integratedcircuits (e.g., a conventional microprocessor or microcontroller),controls the operation of computer system 1200. One or more processorsmay be included in processing unit 1204. These processors may includesingle core or multicore processors. In certain embodiments, processingunit 1204 may be implemented as one or more independent processing units1232 and/or 1234 with single or multicore processors included in eachprocessing unit. In other embodiments, processing unit 1204 may also beimplemented as a quad-core processing unit formed by integrating twodual-core processors into a single chip.

In various embodiments, processing unit 1204 can execute a variety ofprograms in response to program code and can maintain multipleconcurrently executing programs or processes. At any given time, some orall of the program code to be executed can be resident in processor(s)1204 and/or in storage subsystem 1218. Through suitable programming,processor(s) 1204 can provide various functionalities described above.Computer system 1200 may additionally include a processing accelerationunit 1206, which can include a digital signal processor (DSP), aspecial-purpose processor, and/or the like.

I/O subsystem 1208 may include user interface input devices and userinterface output devices. User interface input devices may include akeyboard, pointing devices such as a mouse or trackball, a touchpad ortouch screen incorporated into a display, a scroll wheel, a click wheel,a dial, a button, a switch, a keypad, audio input devices with voicecommand recognition systems, microphones, and other types of inputdevices. User interface input devices may include, for example, motionsensing and/or gesture recognition devices such as the Microsoft Kinect®motion sensor that enables users to control and interact with an inputdevice, such as the Microsoft Xbox® 360 game controller, through anatural user interface using gestures and spoken commands. Userinterface input devices may also include eye gesture recognition devicessuch as the Google Glass® blink detector that detects eye activity(e.g., ‘blinking’ while taking pictures and/or making a menu selection)from users and transforms the eye gestures as input into an input device(e.g., Google Glass®). Additionally, user interface input devices mayinclude voice recognition sensing devices that enable users to interactwith voice recognition systems (e.g., Siri® navigator), through voicecommands.

User interface input devices may also include, without limitation, threedimensional (3D) mice, joysticks or pointing sticks, gamepads andgraphic tablets, and audio/visual devices such as speakers, digitalcameras, digital camcorders, portable media players, webcams, imagescanners, fingerprint scanners, barcode reader 3D scanners, 3D printers,laser rangefinders, and eye gaze tracking devices. Additionally, userinterface input devices may include, for example, medical imaging inputdevices such as computed tomography, magnetic resonance imaging,position emission tomography, medical ultrasonography devices. Userinterface input devices may also include, for example, audio inputdevices such as MIDI keyboards, digital musical instruments and thelike.

User interface output devices may include a display subsystem, indicatorlights, or non-visual displays such as audio output devices, etc. Thedisplay subsystem may be a cathode ray tube (CRT), a flat-panel device,such as that using a liquid crystal display (LCD) or plasma display, aprojection device, a touch screen, and the like. In general, use of theterm “output device” is intended to include all possible types ofdevices and mechanisms for outputting information from computer system1200 to a user or other computer. For example, user interface outputdevices may include, without limitation, a variety of display devicesthat visually convey text, graphics and audio/video information such asmonitors, printers, speakers, headphones, automotive navigation systems,plotters, voice output devices, and modems.

Computer system 1200 may comprise a storage subsystem 1218 thatcomprises software elements, shown as being currently located within asystem memory 1210. System memory 1210 may store program instructionsthat are loadable and executable on processing unit 1204, as well asdata generated during the execution of these programs.

Depending on the configuration and type of computer system 1200, systemmemory 1210 may be volatile (such as random access memory (RAM)) and/ornon-volatile (such as read-only memory (ROM), flash memory, etc.) TheRAM typically contains data and/or program modules that are immediatelyaccessible to and/or presently being operated and executed by processingunit 1204. In some implementations, system memory 1210 may includemultiple different types of memory, such as static random access memory(SRAM) or dynamic random access memory (DRAM). In some implementations,a basic input/output system (BIOS), containing the basic routines thathelp to transfer information between elements within computer system1200, such as during start-up, may typically be stored in the ROM. Byway of example, and not limitation, system memory 1210 also illustratesapplication programs 1212, which may include client applications, Webbrowsers, mid-tier applications, relational database management systems(RDBMS), etc., program data 1214, and an operating system 1216. By wayof example, operating system 1216 may include various versions ofMicrosoft Windows®, Apple Macintosh®, and/or Linux operating systems, avariety of commercially-available UNIX® or UNIX-like operating systems(including without limitation the variety of GNU/Linux operatingsystems, the Google Chrome® OS, and the like) and/or mobile operatingsystems such as iOS, Windows® Phone, Android® OS, BlackBerry® 12 OS, andPalm® OS operating systems.

Storage subsystem 1218 may also provide a tangible computer-readablestorage medium for storing the basic programming and data constructsthat provide the functionality of some embodiments. Software (programs,code modules, instructions) that when executed by a processor providethe functionality described above may be stored in storage subsystem1218. These software modules or instructions may be executed byprocessing unit 1204. Storage subsystem 1218 may also provide arepository for storing data used in accordance with the presentinvention.

Storage subsystem 1200 may also include a computer-readable storagemedia reader 1220 that can further be connected to computer-readablestorage media 1222. Together and, optionally, in combination with systemmemory 1210, computer-readable storage media 1222 may comprehensivelyrepresent remote, local, fixed, and/or removable storage devices plusstorage media for temporarily and/or more permanently containing,storing, transmitting, and retrieving computer-readable information.

Computer-readable storage media 1222 containing code, or portions ofcode, can also include any appropriate media known or used in the art,including storage media and communication media, such as but not limitedto, volatile and non-volatile, removable and non-removable mediaimplemented in any method or technology for storage and/or transmissionof information. This can include tangible computer-readable storagemedia such as RAM, ROM, electronically erasable programmable ROM(EEPROM), flash memory or other memory technology, CD-ROM, digitalversatile disk (DVD), or other optical storage, magnetic cassettes,magnetic tape, magnetic disk storage or other magnetic storage devices,or other tangible computer readable media. This can also includenontangible computer-readable media, such as data signals, datatransmissions, or any other medium which can be used to transmit thedesired information and which can be accessed by computing system 1200.

By way of example, computer-readable storage media 1222 may include ahard disk drive that reads from or writes to non-removable, nonvolatilemagnetic media, a magnetic disk drive that reads from or writes to aremovable, nonvolatile magnetic disk, and an optical disk drive thatreads from or writes to a removable, nonvolatile optical disk such as aCD ROM, DVD, and Blu-Ray® disk, or other optical media.Computer-readable storage media 1222 may include, but is not limited to,Zip® drives, flash memory cards, universal serial bus (USB) flashdrives, secure digital (SD) cards, DVD disks, digital video tape, andthe like. Computer-readable storage media 1222 may also include,solid-state drives (SSD) based on non-volatile memory such asflash-memory based SSDs, enterprise flash drives, solid state ROM, andthe like, SSDs based on volatile memory such as solid state RAM, dynamicRAM, static RAM, DRAM-based SSDs, magnetoresistive RAM (MRAM) SSDs, andhybrid SSDs that use a combination of DRAM and flash memory based SSDs.The disk drives and their associated computer-readable media may providenon-volatile storage of computer-readable instructions, data structures,program modules, and other data for computer system 1200.

Communications subsystem 1224 provides an interface to other computersystems and networks. Communications subsystem 1224 serves as aninterface for receiving data from and transmitting data to other systemsfrom computer system 1200. For example, communications subsystem 1224may enable computer system 1200 to connect to one or more devices viathe Internet. In some embodiments communications subsystem 1224 caninclude radio frequency (RF) transceiver components for accessingwireless voice and/or data networks (e.g., using cellular telephonetechnology, advanced data network technology, such as 3G, 4G or EDGE(enhanced data rates for global evolution), WiFi (IEEE 802.11 familystandards, or other mobile communication technologies, or anycombination thereof), global positioning system (GPS) receivercomponents, and/or other components. In some embodiments communicationssubsystem 1224 can provide wired network connectivity (e.g., Ethernet)in addition to or instead of a wireless interface.

In some embodiments, communications subsystem 1224 may also receiveinput communication in the form of structured and/or unstructured datafeeds 1226, event streams 1228, event updates 1230, and the like onbehalf of one or more users who may use computer system 1200.

By way of example, communications subsystem 1224 may be configured toreceive data feeds 1226 in real-time from users of social networksand/or other communication services such as Twitter® feeds, Facebook®updates, web feeds such as Rich Site Summary (RSS) feeds, and/orreal-time updates from one or more third party information sources.

Additionally, communications subsystem 1224 may also be configured toreceive data in the form of continuous data streams, which may includeevent streams 1228 of real-time events and/or event updates 1230, thatmay be continuous or unbounded in nature with no explicit end. Examplesof applications that generate continuous data may include, for example,sensor data applications, financial tickers, network performancemeasuring tools (e.g. network monitoring and traffic managementapplications), clickstream analysis tools, automobile trafficmonitoring, and the like.

Communications subsystem 1224 may also be configured to output thestructured and/or unstructured data feeds 1226, event streams 1228,event updates 1230, and the like to one or more databases that may be incommunication with one or more streaming data source computers coupledto computer system 1200.

Computer system 1200 can be one of various types, including a handheldportable device (e.g., an iPhone® cellular phone, an iPad® computingtablet, a PDA), a wearable device (e.g., a Google Glass® head mounteddisplay), a PC, a workstation, a mainframe, a kiosk, a server rack, orany other data processing system.

Due to the ever-changing nature of computers and networks, thedescription of computer system 1200 depicted in the figure is intendedonly as a specific example. Many other configurations having more orfewer components than the system depicted in the figure are possible.For example, customized hardware might also be used and/or particularelements might be implemented in hardware, firmware, software (includingapplets), or a combination. Further, connection to other computingdevices, such as network input/output devices, may be employed. Based onthe disclosure and teachings provided herein, a person of ordinary skillin the art will appreciate other ways and/or methods to implement thevarious embodiments.

In the foregoing specification, aspects of the invention are describedwith reference to specific embodiments thereof, but those skilled in theart will recognize that the invention is not limited thereto. Variousfeatures and aspects of the above-described invention may be usedindividually or jointly. Further, embodiments can be utilized in anynumber of environments and applications beyond those described hereinwithout departing from the broader spirit and scope of thespecification. The specification and drawings are, accordingly, to beregarded as illustrative rather than restrictive.

That which is claimed is:
 1. A method performed by a computer having aprocessor and a memory storing a set of data center selection rules, themethod comprising: receiving, at the computer, order information from anorder management server of a cloud computing system, the orderinformation specifying a customer and a product to be instantiated at atleast one data center of the cloud computing system; determining, by theprocessor, a set of one or more data center selection rules using theorder information; and evaluating, by the processor, the set of datacenter selection rules using a first plurality of data centersassociated with the cloud computing system, wherein evaluating the setof data center selection rules comprises: determining that a first datacenter selection rule of the set of data center selection rules includesan action clause defining one or more actions to take with respect to atleast one of the first plurality of data centers, filtering the firstplurality of data centers by applying the action clause to generate asecond plurality of data centers, determining that the first data centerselection rule includes an algorithm clause, and selecting a data centerfrom the second plurality of data centers by applying a selectionalgorithm identified by the first data center selection rule.
 2. Themethod of claim 1 wherein determining, by the processor, the set of oneor more data center selection rules using the order informationcomprises: matching at least one data center selection rule having acondition clause specifying one or more properties of the customer. 3.The method of claim 1 wherein determining, by the processor, the set ofone or more data center selection rules using the order informationcomprises: matching at least one data center selection rule having acondition clause specifying one or more properties of the product. 4.The method of claim 1 wherein filtering the first plurality of datacenters by applying the action clause to generate the second pluralityof data centers comprises selecting the second plurality of data centersusing one or more properties of the second plurality of data centersdefined in the first data center selection rule and one or more metricsassociated with the second plurality of data centers.
 5. The method ofclaim 1 wherein filtering the first plurality of data centers byapplying the action clause to generate the second plurality of datacenters comprises excluding at least one data center from the firstplurality of data centers using one or more properties of the at leastone data center defined in the first data center selection rule and oneor more metrics associated with the at least one data center.
 6. Themethod of claim 1 wherein filtering the first plurality of data centersby applying the action clause to generate the second plurality of datacenters comprises selecting at least one data center based on a type ofservice associated with the product.
 7. The method of claim 1 whereinfiltering the first plurality of data centers by applying the actionclause to generate the second plurality of data centers comprisesselecting at least one data center based on a cost of instantiating theproduct at the at least one data center.
 8. The method of claim 1wherein filtering the first plurality of data centers by applying theaction clause to generate the second plurality of data centers comprisesselecting at least one data center based on a predefined mapping betweenthe customer or the product and the at least one data center.
 9. Anon-transitory computer-readable medium storing a computer programexecutable by a computer having a processor and a memory storing a setof data center selection rules, the non-transitory computer-readablemedium comprising: code for receiving order information from an ordermanagement server of a cloud computing system, the order informationspecifying a customer and a product to be instantiated at at least onedata center of the cloud computing system; code for determining a set ofone or more data center selection rules using the order information; andcode for evaluating the set of data center selection rules using a firstplurality of data centers associated with the cloud computing system,wherein the code for evaluating the set of data center selection rulescomprises: code for determining that a first data center selection ruleof the set of data center selection rules includes an action clausedefining one or more actions to take with respect to at least one of thefirst plurality of data centers, code for filtering the first pluralityof data centers by applying the action clause to generate a secondplurality of data centers, code for determining that the first datacenter selection rule includes an algorithm clause, and code forselecting a data center from the second plurality of data centers byapplying a selection algorithm identified by the first data centerselection rule.
 10. A system comprising: a hardware processor; and amemory storing a set of instructions which when executed by the hardwareprocessor cause the hardware processor to: receive order informationfrom an order management server of a cloud computing system, the orderinformation specifying a customer and a product to be instantiated at atleast one data center of the cloud computing system; determine a set ofone or more data center selection rules using the order information; andevaluate the set of one or more data center selection rules using afirst plurality of data centers associated with the cloud computingsystem, wherein to evaluate the set of one or more data center selectionrules the hardware processor is caused to: determine that a first datacenter selection rule of the set of data center selection rules includesan action clause defining one or more actions to take with respect to atleast one of the first plurality of data centers, filter the firstplurality of data centers by applying the action clause to generate asecond plurality of data centers, determine that the first data centerselection rule includes an algorithm clause, and select a data centerfrom the second plurality of data centers by applying a selectionalgorithm identified by the first data center selection rule.